Senior Python, ML, SQL Engineer (R-16079)

• Key Responsibilities:
• 
  
• Spearhead the development and deployment of advanced software solutions, emphasizing machine learning and LLM applications within the AWS ecosystem.
• Architect robust, scalable cloud solutions to facilitate complex machine learning workflows, including the deployment and scaling of LLMs.
• Partner with Data Scientists to evolve predictive models from ideation to a production environment, significantly enhancing our machine learning capabilities.
• Manage AWS infrastructure, optimizing it for the rigorous demands of high-volume machine learning computations and large-scale data processing.
• Lead cross-functional engineering teams, offering technical leadership and encouraging a culture of technical excellence and innovation.
• Design, refine, and oversee ETL operations to manage large datasets effectively, which are instrumental in training machine learning models, especially LLMs.
• Implement and uphold Infrastructure as Code (IaC) methodologies to automate and manage AWS cloud resources efficiently.
• Develop tools for the deployment, monitoring, and operational analysis of AWS infrastructure, with an emphasis on ensuring the seamless performance of machine learning systems.

Skill Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related technical discipline.
• At least 5 years of experience in Python development, with a substantial focus on machine learning and familiarity with LLMs.
• Proven expertise in AWS cloud services, with AWS certification strongly preferred, alongside a deep understanding of the infrastructure needs for machine learning and LLMs.
• Profound grasp of Linux environments and AGILE methodology.
• Solid experience with DevOps tools and practices, including AWS Services, GitHub, Jenkins, and Terraform.
• Strong ability to construct SQL queries and manage relational databases.
• Proficiency in Git for version control.
• Advanced skills in Python for backend development and scripting, with experience in Node.js being a plus.
• Dun & Bradstreet is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, age, national origin, citizenship status, disability status, sexual orientation, gender identity or expression, pregnancy, genetic information, protected military and veteran status, ancestry, marital status, medical condition (cancer and genetic characteristics) or any other characteristic protected by law.